226 structural-engineering "https:" "https:" "https:" "https:" "https:" "Washington University in St" research jobs at CNRS
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30 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Engineering Physics Technology Researcher Profile First
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diffraction) for structural analysis. - ICP-MS for elemental composition. - SEM/EDX and TEM for morphology and element distribution. - TGA/DTA for thermal analysis and stability. - XPS for surface chemical
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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Université (Paris 05), in the team CONFID (COuches Nanométriques Formation Interfaces Défauts). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7588-JEACAN-002/Default.aspx Requirements Research
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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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techniques available at the IRCELYON and IFPEN laboratories. - Catalyst synthesis - Characterization of surface structure and reactivity, acid-base properties - Catalytic tests on model reactions - Kinetic
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(45 rue des Saints Pères, 75006 Paris) was created on January 1, 2025, and brings together around 70 physicists, biologists, pharmacists, engineers, and doctors, including around 30 permanent staff
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instrumentation. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5214-JEAGAY-092/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the distribution and degree of mantle serpentinization, as well as its structural controls in the North Pyrenean zone. Numerical modeling of mantle-derived H₂ production within the North Pyrenean orogenic prism will
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods